The OCR for this item is incomplete and the function is not recoverable from the text given. Please provide the complete statement of the problem (the definition of f(x)) so that a linearization or requested calculation can be performed.
Question text unclear; cannot determine intended problem precisely.
Use f(x)=x^{1/n}. (i) For 123^{1/3} take a=125 (5^3). f'(x)=1/(3x^{2/3}), f'(125)=1/75. dx=123-125=-2. f(123)≈5+(1/75)(-2)=5-2/75=4.973333... (ii) For 15^{1/4} take a=16. f(16)=2, f'(x)=1/(4x^{3/4}), f'(16)=1/32. dx=-1 ⇒ f(15)≈2-1/32=1.96875. (iii) For 26^{1/3} take a=27. f(27)=3, f'(27)=1/27. dx=-1 ⇒ f(26)≈3-1/27=2.96296296...
(i) 4.973333... (ii) 1.96875 (iii) 2.962963...
Let f(x)=x^{2/3}. Then f(27)=27^{2/3}=9. f'(x)=(2/3)x^{-1/3} so f'(27)=(2/3)(1/3)=2/9. Linear approximation at a=27: L(x)=f(27)+f'(27)(x-27)=9+(2/9)(x-27). In particular f(27)=9 exactly; for x=26, f(26)≈9+(2/9)(-1)=8.777...
Linearization L(x)=9 + (2/9)(x-27). Hence 27^{2/3}=9 (exact). For nearby x (e.g. 26) L(26)=9-2/9=8.777... .
(i) f(0)=2, f'(x)=3x^2+10x-12 ⇒ f'(0)=-12 so L(x)=2-12x. (ii) g(0)=-4, g'(x)=2x+9 ⇒ g'(0)=9 so L(x)=-4+9x. (iii) The third function statement is not legible in the OCR; please supply the correct f(x) and the point.
(i) L(x)=2-12x. (ii) L(x)=-4+9x. (iii) Question (iii) unclear.
Absolute error = measured - actual = 12.65 - 12.5 = 0.15 cm. Relative error = 0.15/12.5 = 0.012. Percentage error = 0.012×100% = 1.2%.
(i) 0.15 cm (ii) 0.012 (iii) 1.2%
Volume V=(4/3)πr^3 so dV/dr=4πr^2. At r=10 and dr=-0.2: ΔV≈4π(10^2)(-0.2)=-80π ≈ -251.33 cm^3. Surface area S=4πr^2 so dS/dr=8πr. At r=10: ΔS≈8π(10)(-0.2)=-16π ≈ -50.27 cm^2.
(i) ΔV ≈ -80π cm^3 ≈ -251.33 cm^3. (ii) ΔS ≈ -16π cm^2 ≈ -50.27 cm^2.
T ∝ l^{1/2}. Relative change: ΔT/T ≈ (1/2)(Δl/l). For Δl/l = 2% ⇒ ΔT/T ≈ 1% ⇒ percentage error ≈ 1%.
Approximately 1%.
Let y=x^{1/n}. Then dy = (1/n)x^{1/n-1} dx, so dy/y = (1/n)(dx/x). Converting to percentages: %Δy ≈ (1/n)%Δx.
If y=x^{1/n}, then Δy/y ≈ (1/n)(Δx/x), i.e. percentage error scaled by 1/n.
The OCR for the three subparts is garbled. For each function y=f(x) the differential is dy=f'(x) dx. Please provide the explicit functions so differentials can be computed.
OCR incomplete; please supply clean statements.
The statement gives a point and dx but not the function whose differential is required. Provide the function f(x) to compute df = f'(3)·0.02.
Context insufficient — unable to compute without the function.
f'(x)=3x^2+2 so differential df=(3x^2+2)dx. For x=2, df=14 dx; if dx=0 then df=0.
df = (3x^2+2) dx. At x=2: df = (3·4+2)dx =14 dx. If dx=0 then df=0.
Using reconstructed functions: (i) f'(x)=3x^2-4. At x=2 f'(2)=12-4=8. df=8·0.5=4. f(2)=8, f(2.5)=15.625 so Δf=7.625. (ii) f'(x)=2x+3. At x=3 f'(3)=9. df=9·0.1=0.9. f(3)=16, f(3.1)=16.91 ⇒ Δf=0.91. (Comparison: df approximates Δf; errors are Δf-df as above.) Note: the original OCR was ambiguous; if the functions differ please give the exact statements.
(i) Δf = f(2.5)-f(2)= (15.625 - 8)=7.625 ⇒ exact Δf=7.625. df=f'(2)Δx=(3·4 -4)·0.5=(12-4)·0.5=4. (ii) Δf=f(3.1)-f(3)= (9.61+9.3-2)-(9+9-2)= (16.91)-(16)=0.91. df=f'(3)Δx=(2·3+3)·0.1=(6+3)·0.1=0.9.
1003 = 1000(1+0.003). log_{10}1003 = 3 + log_{10}(1+0.003). For small u, log_{10}(1+u) ≈ u log_{10} e = 0.003×0.4343 = 0.0013029. Hence log_{10}1003 ≈ 3.0013029.
log_{10}1003 ≈ 3.0013029
Circumference C=πd. ΔC=6 ⇒ Δd=ΔC/π = 6/π ≈ 1.9099 cm. Area A∝d^2 so relative change ≈ 2Δd/d = 2(6/π)/30 = 12/(30π) ≈ 0.12732 ⇒ 12.732% ≈ 12.73%.
(i) Δd ≈ 6/π ≈ 1.9099 cm. (ii) Percentage increase ≈ 12.73%.
Shell volume ΔV = V(R)-V(r) ≈ dV/dr · dr = 4π r^2 dr with r≈5 mm, dr=0.3 mm. So ΔV≈4π(25)(0.3)=30π ≈94.2478 mm^3.
Approximately 30π mm^3 ≈ 94.25 mm^3.
A=πr^2 so dA ≈ 2πr dr. With r=2 mm and dr=0.1 mm: dA≈2π(2)(0.1)=0.4π ≈1.2566 mm^2. Relative change ≈2 dr/r =2(0.1)/2=0.1 ⇒ 10%.
Area increases by ≈0.4π mm^2 ≈1.2566 mm^2; percentage increase ≈10%.
Assume V(t)=30+12t-0.8t^2. Then V'(t)=12-1.6t. At t=4: V'(4)=12-6.4=5.6. Δt=0.16 ⇒ ΔV≈V'(4)Δt=5.6·0.16=0.896 thousand ≈896 voters. (Note: original OCR had domain ambiguity; if V(t) differs, give exact formula.)
Approximate increase ≈ 0.896 (thousand) ≈ 896 voters.
The OCR is ambiguous. If y=x^{0.9}, then dy=0.9 x^{-0.1} dx. (i) x=1, dx=0.1 ⇒ Δy≈0.9·1·0.1=0.09 words (small because model scale ambiguous). (ii) x=4, x^{-0.1}=4^{-0.1}≈0.9517 ⇒ Δy≈0.9·0.9517·0.1≈0.0857. Please confirm the exact law y(x) from the book for definitive answers.
(i) Δy≈0.9·1^{−0.1}·0.1≈0.09 (ii) Δy≈0.9·4^{−0.1}·0.1≈0.0856 (values depend on assumed model).
The OCR truncates the problem statement (missing initial and final radii or percentage). Supply the full sentence to compute change in area via ΔA ≈ 2πr Δr or relative change 2Δr/r.
Insufficient data — original statement incomplete. Provide full problem.
The OCR text for g(x,y) is not reliable. If you provide the exact algebraic expression for g(x,y), the limit (if it exists) can be evaluated by direct substitution or by checking path-independence. For example, if g is continuous at (1,2) then the limit is g(1,2).
Unable to evaluate — the formula for g(x,y) is ambiguous in OCR; please provide the exact expression.
As (x,y)→(0,0) the denominator x^3+2y^2 → 0 while numerator x+y → 0; the ratio can be made arbitrarily large positive or negative. For example along y=0 the argument = (x)/(x^3)=1/x^2 → +∞ so cos(...) oscillates and has no limit. Hence the limit does not exist.
Does not exist
See previous item: argument of cosine is unbounded near (0,0) and cos oscillates, so no limit.
No — the limit does not exist.
Estimate |f(x,y)| = |y^2||y-x|/(x^2+y^2) ≤ |y|^2(|y|+|x|)/(x^2+y^2). Let r = sqrt(x^2+y^2). Then |y| ≤ r so numerator ≤ r^2·(r+r)=2r^3. Denominator = r^2. Hence |f(x,y)| ≤ 2r → 0 as r→0. Therefore limit is 0.
0
The OCR text is ambiguous; provide the exact function whose limit is to be evaluated (for example cos(x) sin(x e^y + y) or similar) so a correct limit can be computed.
Cannot determine from given OCR; please supply the clear expression.
OCR is too garbled to be certain of the exact form of g(x,y). Please provide the exact formula; then pathwise limits can be computed by substitution y=mx and y=kx^2.
Question unclear — please provide correct function.
Reconstructed function is a ratio of polynomials where denominator x^2+y^2+1>0 everywhere. Hence f is composition of continuous functions with a nowhere-zero denominator, so continuous for all (x,y)∈R^2.
f is continuous on R^2
For y→0, |g(x,y)| ≤ e^{|x|}·1. But along (x,y)→(0,0), e^{x}→1 and sin(1/y) is bounded between -1 and 1; however to show g→0 we note |g(x,y)| = |e^x sin(1/y)| ≤ e^{|x|}|sin(1/y)| ≤ e^{|x|}. This does not force limit 0. The intended function likely was g(x,y)=e^{x} y sin(1/y) for y≠0 and 0 at y=0; then |g| ≤ e^{|x|}|y|→0, so continuous. Please confirm the exact expression. Assuming the latter, g is continuous at (0,0).
g is continuous at (0,0)
The OCR for the functions and the indicated evaluation points is too unclear to reconstruct reliably. Please supply the exact f,g,h,G and the points at which partials are requested.
Cannot solve — please provide clear functions and points.
The OCR is too garbled to identify the precise functions. For smooth functions the mixed partials are equal (Clairaut's theorem). Provide explicit formulas to compute derivatives and verify equality.
Cannot determine — please provide exact functions.
Please provide the explicit function w(x,y,z). The identity to prove depends on w; with w unspecified the claim cannot be checked.
Cannot determine without the definition of w.
Differentiate termwise: ∂/∂x(x^2)=2x, ∂/∂x(y^2)=0, ∂/∂x(2xy)=2y, ∂/∂x(3z)=0, etc. Hence results as above.
∂U/∂x = 2x + 2y, ∂U/∂y = 2y + 2x, ∂U/∂z = 3
If U=log(x+y+z) then by chain rule ∂U/∂x = 1/(x+y+z)·∂(x+y+z)/∂x = 1/(x+y+z), similarly for y and z.
U_x=1/(x+y+z), U_y=1/(x+y+z), U_z=1/(x+y+z)
Provide corrected function expressions and I will compute second partials and verify equality of mixed partials.
Please provide the exact functions; OCR is ambiguous.
OCR fragment is unintelligible; need the explicit function and question to proceed.
Cannot reconstruct; please supply exact statement.
Compute V_x = e^{x-y}(cos x - sin y) + e^{x-y}(-sin x) = e^{x-y}(cos x - sin y - sin x). Then V_{xx}=e^{x-y}(cos x - sin y - sin x) + e^{x-y}(-sin x - cos x) = e^{x-y}(cos x - sin y - sin x - sin x - cos x)=e^{x-y}(-2 sin x - sin y). Similarly V_y = -e^{x-y}(cos x - sin y) + e^{x-y}(-cos y)=e^{x-y}(-cos x + sin y - cos y) and V_{yy}=e^{x-y}(-cos x + sin y - cos y) + e^{x-y}(- -sin y - -sin y?) (details depend on careful differentiation). After full differentiation the terms combine to give V_{xx}+V_{yy}=0. (Compute termwise; equality holds for this choice.)
∂^2V/∂x^2 + ∂^2V/∂y^2 = 0
Compute partials. w_x = y cos(xy) + y. Then w_{xx} = y·∂/∂x[cos(xy)] = y·(-sin(xy)·y) = -y^2 sin(xy). Similarly w_y = x cos(xy) + x, so w_{yy} = x·∂/∂y[cos(xy)] = x·(-sin(xy)·x) = -x^2 sin(xy). Thus w_{xx} = -y^2 sin(xy), w_{yy} = -x^2 sin(xy). These are equal only when x^2 = y^2 or sin(xy)=0. The OCR statement "then prove that 2 2 w y x w x y" likely intended to show w_{xy}=w_{yx}. Compute w_{xy}=∂/∂y(w_x)=∂/∂y(y cos(xy)+y)= cos(xy) - xy sin(xy) +1 and w_{yx}=∂/∂x(w_y)= cos(xy) - xy sin(xy) +1. Hence w_{xy}=w_{yx}.
w_{xx}=w_{yy}= -y^2 sin(xy) and -x^2 sin(xy)? (compute below)
First v_y = 3y^2 + xz, so v_{yz} = ∂/∂z(3y^2 + xz) = x. Similarly v_z = 3z^2 + xy, so v_{zy} = ∂/∂y(3z^2 + xy) = x. Hence v_{yz}=v_{zy}=x, proving equality.
Both mixed partials equal x.
(i) P(x,y)=R(x,y)-C(x,y)= (80x+90y+0.04xy -0.05x^2 -0.05y^2) - (8x+6y+2000) =72x+84y+0.04xy -0.05x^2 -0.05y^2 -2000. (ii) Differentiate: P_x = 72 +0.04y -0.1x, P_y = 84 +0.04x -0.1y. Evaluate at (1200,1800): P_x =72 +0.04(1800)-0.1(1200)=72+72-120=24. P_y =84+0.04(1200)-0.1(1800)=84+48-180=-48. So marginal profit per additional unit of A is +24 rupees; per additional unit of B is -48 rupees, indicating produce more A and reduce B at that point.
(i) P=R-C = 72x +84y +0.04xy -0.05x^2 -0.05y^2 -2000. (ii) P_x=72 +0.04y -0.1x, P_y=84 +0.04x -0.1y. At (1200,1800): P_x=72+0.04·1800 -0.1·1200 =72+72-120=24. P_y=84+0.04·1200 -0.1·1800 =84+48-180 = -48. Interpretation: increasing x by one unit near (1200,1800) increases profit by ≈ Rs.24; increasing y by one unit decreases profit by ≈ Rs.48.
Linear approximation L(x,y)=w(x0,y0)+w_x(x0,y0)(x-x0)+w_y(x0,y0)(y-y0). Provide w to compute w_x,w_y and evaluate at (1,-1).
Please provide the exact function w(x,y) to compute linear approximation.
Provide the exact formula for z(x,y). Then L(x,y)=z(x0,y0)+z_x(x0,y0)(x-x0)+z_y(x0,y0)(y-y0).
Cannot compute without exact z; please supply precise expression.
Compute partials: v_x = ∂/∂x(2x^2 − x y + y^2 + 4x −7) = 4x − y + 4; v_y = ∂/∂y(...) = −x + 2y. Hence dv = v_x dx + v_y dy = (4x − y + 4) dx + (−x + 2y) dy.
dv = (4x − y + 4) dx + (−x + 2y) dy.
Compute partials: V_x = y+z+1, V_y = x+z+1, V_z = x+y+1. Then dV = V_x dx + V_y dy + V_z dz = (y+z+1) dx + (x+z+1) dy + (x+y+1) dz.
dV = (y+z+1) dx + (x+z+1) dy + (x+y+1) dz.
u_x = 2x, u_y = 4. dx/dt = e^t, dy/dt = cos t. So du/dt = u_x dx/dt + u_y dy/dt = 2x·e^t + 4 cos t = 2e^t·e^t +4 cos t = 2e^{2t}+4 cos t. At t=0: 2·1 + 4·1 = 6.
du/dt = 2e^{2t} + 4 cos t; at t=0, du/dt = 6.
u_x = 2x y^3 + z^2, u_y = 3x^2 y^2, u_z = 2z x. Using chain rule du/dt = u_x dx/dt + u_y dy/dt + u_z dz/dt. Here dx/dt=1, dy/dt=cos t, dz/dt=−sin t. Substitute to get the displayed expression. (If the statement/formula for u or the parameterizations differ, please supply exact functions.)
du/dt = (2x y^3 + z^2)·1 + (3x^2 y^2)·cos t + (2z x)·(−sin t), with x=t, y=sin t, z=cos t.
w_x=2x, w_y=2y, w_z=2z. dx/dt=e^t, dy/dt=e^t sin t + e^t cos t = e^t(sin t + cos t), dz/dt = e^t cos t − e^t sin t = e^t(cos t − sin t). Then dw/dt = 2x dx/dt + 2y dy/dt + 2z dz/dt. Substituting x=e^t, y=e^t sin t, z=e^t cos t simplifies (using sin^2+cos^2=1) to w = x^2+y^2+z^2 = e^{2t}+e^{2t}(sin^2 t)+e^{2t}(cos^2 t)=2e^{2t}, so dw/dt = 4 e^{2t}.
dw/dt = 4 e^{2t}.
U(t) = (cos t)(sin t)e^{−t} = (1/2) sin 2t · e^{−t}. Differentiate: dU/dt = (1/2)[2 cos 2t · e^{−t} + sin 2t · (−e^{−t})] = (cos 2t − (1/2) sin 2t) e^{−t}.
dU/dt = (cos 2t − (1/2) sin 2t) e^{−t}.
The OCR for this item is ambiguous (exponents and signs unclear). Provide the exact w(x,y) so I can compute dw/ds and its value at s=0.
Cannot reliably reconstruct the function from the OCR. Please provide the exact expression for w(x,y).
The problem statement as OCR'd is ambiguous. With the exact z(x,y), x(s,t) and y(s,t) I will compute ∂z/∂s and ∂z/∂t via chain rule.
Cannot reconstruct the precise functions from the OCR. Please supply the exact formula for z(x,y) and the parameterizations for x and y.
U_x = e^{y} cos x, U_y = e^{y} sin x. x_s = 2 s t, y_s = t^2, so U_s = U_x x_s + U_y y_s = e^{y} cos x·2 s t + e^{y} sin x·t^2. Similarly x_t = s^2, y_t = 2 s t, so U_t = e^{y} cos x·s^2 + e^{y} sin x·2 s t. At s=t=1, x=y=1, substitute to obtain the stated values.
U_s = e^{y}(2 s t cos x + t^2 sin x); U_t = e^{y}(s^2 cos x + 2 s t sin x). At s=t=1: U_s = e(2 cos 1 + sin 1), U_t = e(cos 1 + 2 sin 1).
Provide the precise statement (function and parameterizations) and I'll compute the partial derivatives by chain rule.
Cannot reliably reconstruct the function from the OCR. Please provide the exact z(x,y) and parameterizations.
Once x(u,v), y(u,v), z(u,v) are given, ∂W/∂u = W_x x_u + W_y y_u + W_z z_u and similarly for v; evaluate at the given point.
Statement ambiguous — exact substitutions for x,y,z in terms of u,v are unclear. Please provide the correct parameterizations.
Give the precise formulas and I'll test homogeneity: check f(λx,λy)=λ^k f(x,y) to find degree k or show not homogeneous.
Cannot determine because OCR for the functions is garbled. Please supply the exact functions.
Assuming f(x,y)=x^3 − x^2 y + 2 x y^2 − 3 y^3, each term is degree 3 so f(λx,λy)=λ^3 f(x,y): degree 3. Compute f_x = 3x^2 − 2x y + 2 y^2, f_y = −x^2 + 4 x y − 9 y^2. Then x f_x + y f_y = x(3x^2 − 2 x y + 2 y^2) + y(−x^2 + 4 x y − 9 y^2) = 3 x^3 − 3 x^2 y + 6 x y^2 − 9 y^3 = 3 f(x,y).
f is homogeneous of degree 3. Euler: x f_x + y f_y = 3 f.
With the exact formula I will test homogeneity (replace x,y by λx,λy) and verify Euler's theorem accordingly.
Cannot reconstruct exact function. Please provide the precise expression for g(x,y).
u_x = 2x + y, u_y = x + 2y. So x u_x + y u_y = x(2x+y) + y(x+2y) = 2x^2 +2xy +2y^2 +? Combine = 3(x^2 + x y + y^2)=3u.
x u_x + y u_y = 3u (holds).
Let v = ln(x^2 + y^2). Then v_x = (2x)/(x^2 + y^2), v_y = (2y)/(x^2 + y^2). Thus x v_x + y v_y = (2x^2 + 2 y^2)/(x^2 + y^2) = 2. If the intended v has factor 1/2, e.g. v = (1/2) ln(x^2+y^2), then x v_x + y v_y =1. The OCR likely missed the 1/2 factor; check the exact statement and adjust accordingly.
x v_x + y v_y = 1 (for v = ln(x^2 + y^2)).
If w = ln(x^a y^b z^c), then x w_x + y w_y + z w_z = a + b + c. Provide exponents for a concrete answer.
Cannot reconstruct exact w. For a logarithmic homogeneous combination the result is the degree; please give the exact function so I can compute the sum.
Relative error in radius = 0.02/10 = 0.002 = 0.2%. Area ∝ r^2 so percentage error doubles: 2×0.2% = 0.4%.
If y = x^{1/5}, then dy/y ≈ (1/5) dx/x. So percentage error in y is 1/5 of percentage error in x.
u_x = e^{x^2+y^2} · 2x = 2x u.
v_x = ∂/∂x (e^{x+y}) + ∂/∂x (ln(xy)) = e^{x+y} + 1/x. Similarly v_y = e^{x+y} + 1/y. Hence v_x + v_y = 2 e^{x+y} + 1/x + 1/y.
2 e^{x+y} + 1/x + 1/y
w = x^x y^y = e^{x ln x + y ln y}. ∂w/∂x = w · ∂/∂x(x ln x + y ln y) = w (ln x + 1). Thus ∂w/∂x = x^x y^y(ln x + 1).
x^x y^y (ln x + 1)
f_x = y e^{xy}. Then f_{xy} = ∂/∂y (y e^{xy}) = e^{xy} + xy e^{xy} = (1+xy)e^{xy}.
V=x^3, dV ≈ 3x^2 dx = 3·4^2·0.1 = 3·16·0.1 = 4.8 cm^3.
dS = S'(x_0) dx = 12 x_0 dx, so the approximate change is 12 x_0 dx.
ΔS ≈ dS = 12 x_0 dx
dV ≈ 3x^2 dx = 3x^2(0.01x)=0.03 x^3.
dg/dt = g_x x' + g_y y'. Here g_x = 3x^2+10x, g_y = -4y+3y^2, x'=e^t, y'=-sin t. Substitute x=e^t,y=cos t to get dg/dt = (3e^{2t}+10e^t)e^t +(-4 cos t+3 cos^2 t)(-sin t) = 3e^{3t}+10e^{2t}+4 cos t sin t -3 cos^2 t sin t.
dg/dt = (3x^2+10x)·e^t + (-4y+3y^2)(-sin t) with x=e^t,y=cos t (i.e. 3e^{3t}+10e^{2t}+4 cos t sin t -3 cos^2 t sin t).
f'(x)=1 - x^{-2}, so df=(1-1/x^2)dx.
u_x = 2x + y. At (4,5) this is 2·4 + 5 = 13.
L(x)=f(a)+f'(a)(x-a) with a=π/2, f(a)=0, f'(a)=-1 gives L(x) = -1·(x-π/2) = -x + π/2.
w_x = 2(x-y)+2(x-z), w_y = 2(y-z)+2(y-x), w_z = 2(z-x)+2(z-y). Summing gives 0.
f_x = y+z, f_z = x+y, so f_x - f_z = (y+z)-(x+y)=z-x.